Music, as a kind of cultural heritage, has become an indispensable element in human life. How to intuitively understand the role of music in human collective has become a difficult issue in the field of music research. In this paper, a quantitative model of music influence, which is based on directed graph, Euclidean distance and correlation analysis, is proposed for the development of some genres. In this model, the influences of genre leaders on music development are obtained by evaluating the parameters of the directed graph among artists. Then, the similarity analysis of music within and between schools is con-ducted to get the musical characteristics of different schools. Then the correlation analysis of music features is carried out by SPSS to get the most “infectious” index of music. Finally, based on the time series, the visual analysis of music evolution is made to quantify the influence of music. In this paper, we’ve verified the model for many times according to the music development results, which proves that the model has strong guidance for the analysis of music development.
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